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Host-Aware Routing in Multicast Overlay Backbone

机译:多播覆盖骨干中的主机感知路由

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To support large-scale Internet-based broadcast of live streaming video efficiently in content delivery networks (CDNs), it is essential to implement a cost-effective overlay multicast mechanism by exploiting peer-to-peer distribution capabilities among end hosts. This way, the access bandwidth demand on CDN servers in the multicast overlay backbone can be largely reduced. Such a streaming infrastructure gives rise to an interesting host-aware routing problem (HARP). For a live streaming video broadcast event, each participating CDN server is made aware of the largest delay from it to end hosts within its service area. The problem is to optimize routing among CDN servers in the multicast overlay backbone such that the de facto maximal end-to-end latency from the origin server to all end hosts is minimized subject to access bandwidth constraints on CDN servers. In this paper, we frame HARP as a constrained spanning tree problem which is shown to be NP-hard. We present a distributed algorithm for HARP. Simulation experiments confirm that our proposed algorithm converges to good quality solutions that are close to the optimum.
机译:为了高效地支持基于大规模的基于Internet的直播视频广播,通过在内容传递网络(CDN)中,必须通过利用最终主机之间的对等分布能力来实现经济高效的覆盖多播机制。这样,可以大大减少了多播覆盖骨干中CDN服务器上的访问带宽需求。这种流式基础架构引发了一个有趣的主机感知路由问题(HARP)。对于直播视频广播事件,每个参与的CDN服务器都知道从其在其服务区域内的最终主机中的最大延迟。问题是优化组播覆盖骨干中的CDN服务器之间的路由,使得从原始服务器到所有结束主机的De Facto最大端到端延迟最小化以访问CDN服务器上的带宽约束。在本文中,我们将HARP框架作为一个受限制的生成树问题,其被显示为硬质艰难。我们提出了一种用于HARP的分布式算法。仿真实验证实,我们所提出的算法会聚到接近最佳的优质解决方案。

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